MONITORING OF URBAN LANDSLIDES WITH VERY HIGH RESOLUTION DATA: THE CASE STUDY OF LATRONICO

被引:0
|
作者
Fornaro, G. [1 ]
Reale, D. [1 ]
Di Maio, C. [2 ]
Gioia, D. [3 ]
Schiattarella, M. [4 ]
Vassallo, R. [2 ]
机构
[1] CNR IREA, Naples, Italy
[2] Univ Basilicata, Sch Engn, Potenza, Italy
[3] CNR IBAM, Potenza, Italy
[4] Univ Basilicata, DICEM Dept European & Mediterranean Cultures, Matera, Italy
关键词
SAR Interferometry; Tomographic Processing;
D O I
10.1109/igarss.2019.8897968
中图分类号
P [天文学、地球科学];
学科分类号
07 ;
摘要
X-Band systems provide Very High Resolution (VHR) SAR data that have important applications in several areas of the risk monitoring. Processing of interferometric VHR SAR data stacks allows the accurate monitoring of deformation affecting buildings. In this work we discuss the application to the monitoring of the Latronico town, a village in South Italy, severely affected by the slow and continuous movement of a landslide. Data are relevant to the COSMO-SkyMed constellation and results are generated via a tomographic processing.
引用
收藏
页码:2092 / 2094
页数:3
相关论文
共 50 条
  • [41] Research on high-resolution distributed fiber optic stress sensor for landslides monitoring
    Dai, Zhiyong
    Liu, Yongzhi
    Zhang, Lixun
    Ou, Zhonghua
    Zhou, Ce
    19TH INTERNATIONAL CONFERENCE ON OPTICAL FIBRE SENSORS, PTS 1 AND 2, 2008, 7004
  • [42] Multi-sensor advanced DInSAR monitoring of very slow landslides: The Tena Valley case study (Central Spanish Pyrenees)
    Herrera, G.
    Gutierrez, F.
    Garcia-Davalillo, J. C.
    Guerrero, J.
    Notti, D.
    Galve, J. P.
    Fernandez-Merodo, J. A.
    Cooksley, G.
    REMOTE SENSING OF ENVIRONMENT, 2013, 128 : 31 - 43
  • [43] ANALYSIS OF X-BAND VERY HIGH RESOLUTION PERSISTENT SCATTERER INTERFEROMETRY DATA OVER URBAN AREAS
    Crosetto, M.
    Monserrat, O.
    Cuevas-Gonzalez, M.
    Devanthery, N.
    Crippa, B.
    ISPRS HANNOVER WORKSHOP 2013, 2013, 40-1 (W-1): : 47 - 51
  • [44] High-resolution hydrologic forecasting for very large urban areas
    Habibi, Hamideh
    Dasgupta, Ishita
    Noh, Seongjin
    Kim, Sunghee
    Zink, Michael
    Seo, Dong-Jun
    Bartos, Matthew
    Kerkez, Branko
    JOURNAL OF HYDROINFORMATICS, 2019, 21 (03) : 441 - 454
  • [45] Novelty detection in very high resolution urban scenes with Density Forests
    Wendl, Cyril
    Marcos, Diego
    Tuia, Devis
    2019 JOINT URBAN REMOTE SENSING EVENT (JURSE), 2019,
  • [46] Very high resolution SAR images over dense urban area
    Cantalloube, HMJ
    Dubois-Fernandez, P
    Dupuis, X
    IGARSS 2005: IEEE International Geoscience and Remote Sensing Symposium, Vols 1-8, Proceedings, 2005, : 2799 - 2802
  • [47] A very high-resolution assessment and modelling of urban air quality
    Wolf, Tobias
    Pettersson, Lasse H.
    Esau, Igor
    ATMOSPHERIC CHEMISTRY AND PHYSICS, 2020, 20 (02) : 625 - 647
  • [48] Hierarchical object oriented classification using very high resolution imagery and LIDAR data over urban areas
    Chen, Yunhao
    Su, Wei
    Li, Jing
    Sun, Zhongping
    ADVANCES IN SPACE RESEARCH, 2009, 43 (07) : 1101 - 1110
  • [49] Monitoring Urban Green Space (UGS) Changes by Using High Resolution Aerial Imagery: A Case Study of Kuala Lumpur, Malaysia
    Abu Kasim, Junainah
    Yusof, Mohd Johari Mohd
    Shafri, Helmi Zulhaidi Mohd
    PERTANIKA JOURNAL OF SCIENCE AND TECHNOLOGY, 2019, 27 (04): : 1971 - 1990
  • [50] Monitoring on Earthquake Induced Landslides - A case study in northwest Chengdu, China
    Tian Hongling
    Qiao Jianping
    Uchimura, Taro
    Wang Lin
    GEOTECHNICAL ENGINEERING, 2012, 43 (02): : 71 - 74